ArticleProceedings of the National Academy of Sciences of the United States of America2021
The cospecification of the shape and material properties of light permeable materials.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed.
- Evaluation of shape recovery algorithm for translucent objects.Scientific reports · 2026Article
- Interaction of optical parameters in the perception of transparency/translucency and their neural representation in the visual cortex.Journal of vision · 2026Article
- A Taxonomy of Six Perceptual Cues Underlying Photorealism in 3D-Rendered Architectural Scenes: A Cue-Based Narrative Review.Journal of imaging · 2026Review
- The identification of materials from patterns of fluid flow.Journal of vision · 2025Article
- Orientation fields predict human perception of 3D shape from shading.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Article
- Probing the link between vision and language in material perception using psychophysics and unsupervised learning.PLoS computational biology · 2024Article
- Probing the Link Between Vision and Language in Material Perception Using Psychophysics and Unsupervised Learning.bioRxiv : the preprint server for biology · 2024Article
- Qualitative perception of 3D shape from patterns of luminance curvature.Journal of vision · 2023Article
- Unsupervised learning reveals interpretable latent representations for translucency perception.PLoS computational biology · 2023Article
- The case against probabilistic inference: a new deterministic theory of 3D visual processing.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Review
- The role of color in the perception of three-dimensional shape.Current biology : CB · 2022Article
- Crystal or jelly? Effect of color on the perception of translucent materials with photographs of real-world objects.Journal of vision · 2022Article
- Form and Function in Information for Visual Perception.i-Perception · 2021Article
- Translucency perception: A review.Journal of vision · 2021Review
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2 authors.
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Abstract
The problem of extracting the three-dimensional (3D) shape and material properties of surfaces from images is considered to be inherently ill posed. It is thought that a priori knowledge about either 3D shape is needed to infer material properties, or knowledge about material properties are needed to derive 3D shape. Here, we show that there is information in images that cospecify both the material composition and 3D shape of light permeable (translucent) materials. Specifically, we show that the intensity gradients generated by subsurface scattering, the shape of self-occluding contours, and the distribution of specular reflections covary in systematic ways that are diagnostic of both the surface's 3D shape and its material properties. These sources of image covariation emerge from being causally linked to a common environmental source: 3D surface curvature. We show that these sources of covariation take the form of "photogeometric constraints," which link variations in intensity (photometric constraints) to the sign and direction of 3D surface curvature (geometric constraints). We experimentally demonstrate that this covariation generates emergent cues that the visual system exploits to derive the 3D shape and material properties of translucent surfaces and demonstrate the potency of these cues by constructing counterfeit images that evoke vivid percepts of 3D shape and translucency. The concepts of covariation and cospecification articulated herein suggest a principled conceptual path forward for identifying emergent cues that can be used to solve problems in vision that have historically been assumed to be ill posed.
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